Wei Zhuangkun, Hu Wenxiu, Han Dahai, Zhang Min, Li Bin, Zhao Chenglin
Opt Express. 2018 Feb 5;26(3):3260-3270. doi: 10.1364/OE.26.003260.
One primary challenge in wireless ultraviolet communications (UVCs) is the inter-symbol-interference (ISI), which may block the detection of current informative signal, especially when channel-related characteristics are unknown. In this paper, we propose a UV channel-related Bayesian scheme that can simultaneously estimate the channel characteristics and detect informative signals, which therefore can address the ISI disturbance. By investigating the UV single-scattering photon model, the dynamic behaviors of the channel state information (CSI), which involve the uncertain signal and the unknown channel parameters are formulated. Hence, a sequential Bayesian process is suggested to estimate the UV CSI. Numerical analysis shows that the proposed scheme can obtain a promising estimation performance (i.e., the relative errors are less than 4%), and gain an extra 4dB detection performance compared with imperfect maximum-likelihood sequence detection (MLSD) scheme.
无线紫外光通信（UVC）中的一个主要挑战是符号间干扰（ISI），它可能会阻碍当前信息信号的检测，尤其是在信道相关特性未知时。在本文中，我们提出了一种与紫外信道相关的贝叶斯方案，该方案可以同时估计信道特性并检测信息信号，从而能够解决ISI干扰问题。通过研究紫外单散射光子模型，阐述了信道状态信息（CSI）的动态行为，其中涉及不确定信号和未知信道参数。因此，建议采用序贯贝叶斯过程来估计紫外CSI。数值分析表明，所提出的方案能够获得良好的估计性能（即相对误差小于4%），并且与不完善的最大似然序列检测（MLSD）方案相比，检测性能可额外提高4dB。
